\hypertarget{structCloud}{
\section{Cloud Struct Reference}
\label{structCloud}\index{Cloud@{Cloud}}
}


{\ttfamily \#include $<$NearestClusterCenter.h$>$}\subsection*{Public Attributes}
\begin{DoxyCompactItemize}
\item 
\hypertarget{structCloud_a5510f0372a93a85db32abf4161dc9123}{
std::vector$<$ Features $>$ {\bfseries data}}
\label{structCloud_a5510f0372a93a85db32abf4161dc9123}

\item 
\hypertarget{structCloud_ac7dc0d2900d6b86cfee3a35d40f60dcc}{
OutputType {\bfseries value}}
\label{structCloud_ac7dc0d2900d6b86cfee3a35d40f60dcc}

\end{DoxyCompactItemize}


\subsection{Detailed Description}
Class for learning and classification based on feature distances. Algorithm is the nearest cluster center. \begin{DoxyAuthor}{Author}
Lars Widmer www.lawi.ch 
\end{DoxyAuthor}


The documentation for this struct was generated from the following file:\begin{DoxyCompactItemize}
\item 
NearestClusterCenter.h\end{DoxyCompactItemize}
